GPU COMPUTING

GPU COMPUTING

When using scientific, analytics, engineering, consumer and enterprise applications, an acceleration is highly essential for effectiveness by the use of a graphics processing unit (GPU) together with a CPU. Hundreds of industry-leading applications are already GPU-accelerated. NVIDIA supports the full range of parallel programming models such as CUDA and OpenCL, which application developers harness to super-charge their application performance. More importantly for professionals, CUDA accelerates the modern workflow in applications from vendors such as Adobe, Autodesk, RED Digital Camera and more.